Diagnostics of Chlorine-Induced Stress Corrosion Cracking Using Laser Ultrasonics
Abstract
The stainless steel canister inside a dry cask storage system (DCSS) used to store spent nuclear fuel is at risk for chlorine-induced stress corrosion cracking (CISCC), especially near welds and at storage sites exposed to high humidity. In-situ nondestructive evaluation of crack formation is needed, specifically to measure the depth of the crack along its length with high accuracy. Laser ultrasonic testing (LUT) is shown here to be a viable technique for noncontact evaluation of CISCC. The LUT measurement probe head is resistant to the high-radiation, high-temperature environment inside the DCSS. It can be miniaturized to fit through tight spaces as needed to access the canister, and fiber-connected to the other LUT system components positioned outside the DCSS. In this Phase II study, Intelligent Optical Systems developed a compact laser ultrasonic probe and integrated it onto a robotic crawler adapted for navigating into a DCSS and scanning cracks on the canister surface. We demonstrated the ability of this crawler-mounted probe to detect, locate, and scan cracks in a laboratory setup and on realistic DCSS mockups. We developed algorithms and incorporated them into software that processes raw scan data to create a crack depth profile immediately after each scan, thereby eliminatingmore »
- Authors:
- Publication Date:
- Research Org.:
- Intelligent Optical Systems, Inc.
- Sponsoring Org.:
- USDOE Office of Nuclear Energy (NE)
- OSTI Identifier:
- 1616565
- Report Number(s):
- DOE-IOS-0015769
3273
- DOE Contract Number:
- SC0015769
- Type / Phase:
- SBIR (Phase II)
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; 22 GENERAL STUDIES OF NUCLEAR REACTORS; laser ultrasonics, stress corrosion crack, dry cask storage system, crack depth, crack profiling
Citation Formats
Klein, Marvin. Diagnostics of Chlorine-Induced Stress Corrosion Cracking Using Laser Ultrasonics. United States: N. p., 2020.
Web.
Klein, Marvin. Diagnostics of Chlorine-Induced Stress Corrosion Cracking Using Laser Ultrasonics. United States.
Klein, Marvin. Thu .
"Diagnostics of Chlorine-Induced Stress Corrosion Cracking Using Laser Ultrasonics". United States.
@article{osti_1616565,
title = {Diagnostics of Chlorine-Induced Stress Corrosion Cracking Using Laser Ultrasonics},
author = {Klein, Marvin},
abstractNote = {The stainless steel canister inside a dry cask storage system (DCSS) used to store spent nuclear fuel is at risk for chlorine-induced stress corrosion cracking (CISCC), especially near welds and at storage sites exposed to high humidity. In-situ nondestructive evaluation of crack formation is needed, specifically to measure the depth of the crack along its length with high accuracy. Laser ultrasonic testing (LUT) is shown here to be a viable technique for noncontact evaluation of CISCC. The LUT measurement probe head is resistant to the high-radiation, high-temperature environment inside the DCSS. It can be miniaturized to fit through tight spaces as needed to access the canister, and fiber-connected to the other LUT system components positioned outside the DCSS. In this Phase II study, Intelligent Optical Systems developed a compact laser ultrasonic probe and integrated it onto a robotic crawler adapted for navigating into a DCSS and scanning cracks on the canister surface. We demonstrated the ability of this crawler-mounted probe to detect, locate, and scan cracks in a laboratory setup and on realistic DCSS mockups. We developed algorithms and incorporated them into software that processes raw scan data to create a crack depth profile immediately after each scan, thereby eliminating the need for data interpretation by a trained operator. The determined depth values are accurate over the full range of relevant depths.},
doi = {},
url = {https://www.osti.gov/biblio/1616565},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {4}
}